Data Scientist – Husky (India) Guindy, Chennai

On Site Full TimeChennai, Tamil Nadu, IndiaHusky Technologies

Role Overview

The Data Scientist is a key member of Husky’s global Enterprise Data & Analytics organization, responsible for transforming enterprise data into actionable business insights, predictive intelligence, and AI-driven solutions.

What You Will Do

Design, develop, and deploy advanced analytics, machine learning models, and enterprise reporting solutions using modern cloud-based data platforms.

Why It Might Be a Fit

The ideal candidate will have 5-10 years of experience in Data Science, Analytics, Data Engineering, Business Intelligence, or Enterprise Data Management, and a strong background in Python, R, SQL, machine learning, and statistical analysis.

Requirements

  • Bachelor’s Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related discipline.
  • 5-10 years of experience in Data Science, Analytics, Data Engineering, Business Intelligence, or Enterprise Data Management.
  • Experience delivering analytics and reporting solutions in manufacturing, industrial, or global enterprise environments.
  • Experience working with cross-functional international teams.
  • Strong background in Python, R, SQL, machine learning, and statistical analysis.

Benefits

  • Competitive compensation and benefits package
  • Excellent opportunities for growth and advancement

Tagged as: ,

To apply for this job please visit linkedin.com.

RevOps Careers Favicon

Get the latest RevOps jobs every Monday.

No noise. Just the best GTM roles, curated weekly.

We don’t spam! Read our privacy policy for more info.

Get the full Role Intel for this job

ReLoop.me’s full Role Intel shows the real level behind the title, an estimated pay range, a must-have checklist and the questions to ask before you apply.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!